{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4e2a9393-7767-488e-a8bf-27c12dca35bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# imports\n",
    "\n",
    "import os\n",
    "import requests\n",
    "from dotenv import load_dotenv\n",
    "from bs4 import BeautifulSoup\n",
    "from IPython.display import Markdown, display\n",
    "from openai import OpenAI\n",
    "\n",
    "# If you get an error running this cell, then please head over to the troubleshooting notebook!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7b87cadb-d513-4303-baee-a37b6f938e4d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Load environment variables in a file called .env\n",
    "\n",
    "load_dotenv(override=True)\n",
    "api_key = os.getenv('OPENAI_API_KEY')\n",
    "\n",
    "# Check the key\n",
    "\n",
    "if not api_key:\n",
    "    print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n",
    "elif not api_key.startswith(\"sk-proj-\"):\n",
    "    print(\"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n",
    "elif api_key.strip() != api_key:\n",
    "    print(\"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n",
    "else:\n",
    "    print(\"API key found and looks good so far!\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "019974d9-f3ad-4a8a-b5f9-0a3719aea2d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "openai = OpenAI()\n",
    "\n",
    "# If this doesn't work, try Kernel menu >> Restart Kernel and Clear Outputs Of All Cells, then run the cells from the top of this notebook down.\n",
    "# If it STILL doesn't work (horrors!) then please see the Troubleshooting notebook in this folder for full instructions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "abdb8417-c5dc-44bc-9bee-2e059d162699",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Define our system prompt - you can experiment with this later, changing the last sentence to 'Respond in markdown in Spanish.\"\n",
    "\n",
    "system_prompt = \"You are an assistant that analyzes the contents of a website \\\n",
    "and provides a short summary, ignoring text that might be navigation related. \\\n",
    "Respond in markdown.\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f0275b1b-7cfe-4f9d-abfa-7650d378da0c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# A function that writes a User Prompt that asks for summaries of websites:\n",
    "\n",
    "def user_prompt_for(website):\n",
    "    user_prompt = f\"You are looking at a website titled {website.title}\"\n",
    "    user_prompt += \"\\nThe contents of this website is as follows; \\\n",
    "please provide a short summary of this website in markdown. \\\n",
    "If it includes news or announcements, then summarize these too.\\n\\n\"\n",
    "    user_prompt += website.text\n",
    "    return user_prompt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0134dfa4-8299-48b5-b444-f2a8c3403c88",
   "metadata": {},
   "outputs": [],
   "source": [
    "# See how this function creates exactly the format above\n",
    "\n",
    "def messages_for(website):\n",
    "    return [\n",
    "        {\"role\": \"system\", \"content\": system_prompt},\n",
    "        {\"role\": \"user\", \"content\": user_prompt_for(website)}\n",
    "    ]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eeab24dc-5f90-4570-b542-b0585aca3eb6",
   "metadata": {},
   "source": [
    "# Sharing your code\n",
    "\n",
    "I'd love it if you share your code afterwards so I can share it with others! You'll notice that some students have already made changes (including a Selenium implementation) which you will find in the community-contributions folder. If you'd like add your changes to that folder, submit a Pull Request with your new versions in that folder and I'll merge your changes.\n",
    "\n",
    "If you're not an expert with git (and I am not!) then GPT has given some nice instructions on how to submit a Pull Request. It's a bit of an involved process, but once you've done it once it's pretty clear. As a pro-tip: it's best if you clear the outputs of your Jupyter notebooks (Edit >> Clean outputs of all cells, and then Save) for clean notebooks\n",
    "\n",
    "Here are good instructions courtesy of an AI friend:  \n",
    "https://chatgpt.com/share/677a9cb5-c64c-8012-99e0-e06e88afd293"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "acbb92b2-b625-4a37-b03a-09dc8f06b222",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install selenium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d6448a12-6aa1-4dd1-aaf1-c8a3a3c3ecb0",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install webdriver-manager"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f4484fcf-8b39-4c3f-9674-37970ed71988",
   "metadata": {},
   "outputs": [],
   "source": [
    "# A class to represent a Webpage\n",
    "# If you're not familiar with Classes, check out the \"Intermediate Python\" notebook\n",
    "\n",
    "# Some websites need you to use proper headers when fetching them:\n",
    "# Import necessary modules\n",
    "from selenium import webdriver\n",
    "from selenium.webdriver.chrome.options import Options\n",
    "from selenium.webdriver.chrome.service import Service\n",
    "from webdriver_manager.chrome import ChromeDriverManager\n",
    "from bs4 import BeautifulSoup\n",
    "import time\n",
    "\n",
    "class ScrapeWebsite:\n",
    "    def __init__(self, url):\n",
    "        \"\"\"\n",
    "        Create this Website object from the given URL using Selenium + BeautifulSoup\n",
    "        Supports JavaScript-heavy and normal websites uniformly.\n",
    "        \"\"\"\n",
    "        self.url = url\n",
    "\n",
    "        # Configure headless Chrome\n",
    "        options = Options()\n",
    "        options.add_argument('--headless')\n",
    "        options.add_argument('--no-sandbox')\n",
    "        options.add_argument('--disable-dev-shm-usage')\n",
    "\n",
    "        # Use webdriver-manager to manage ChromeDriver\n",
    "        service = Service(ChromeDriverManager().install())\n",
    "\n",
    "        # Initialize the Chrome WebDriver with the service and options\n",
    "        driver = webdriver.Chrome(service=service, options=options)\n",
    "\n",
    "        # Start Selenium WebDriver\n",
    "        driver.get(url)\n",
    "\n",
    "        # Wait for JS to load (adjust as needed)\n",
    "        time.sleep(3)\n",
    "\n",
    "        # Fetch the page source after JS execution\n",
    "        page_source = driver.page_source\n",
    "        driver.quit()\n",
    "\n",
    "        # Parse the HTML content with BeautifulSoup\n",
    "        soup = BeautifulSoup(page_source, 'html.parser')\n",
    "\n",
    "        # Extract title\n",
    "        self.title = soup.title.string if soup.title else \"No title found\"\n",
    "\n",
    "        # Remove unnecessary elements\n",
    "        for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n",
    "            irrelevant.decompose()\n",
    "\n",
    "        # Extract the main text\n",
    "        self.text = soup.body.get_text(separator=\"\\n\", strip=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f576f485-60c0-4539-bfb3-79d821ebefa4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def summarize_js_website(url):\n",
    "    website = ScrapeWebsite(url)\n",
    "    response = openai.chat.completions.create(\n",
    "        model = \"gpt-4o-mini\",\n",
    "        messages = messages_for(website)\n",
    "    )\n",
    "    return response.choices[0].message.content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "00ac3659-e4f0-4b64-8041-ba35bfa2c4c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "summary = summarize_js_website(\"https://dheerajmaddi.netlify.app/\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d526136e-9960-4f09-aad0-32f8c11de0ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "display(Markdown(summary))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bcf1fd75-9964-4223-bcda-f2794bc9f7af",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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